Package Holidays - Equatorial Guinea

Equatorial Guinea

Highlights

Equatorial Guinea can expect the revenue in its Package Holidays market to reach US$10.76m in 2024.
Furthermore, the revenue is projected to show a Compound Annual Growth Rate (CAGR 2024-2029) of 2.69%, resulting in a market volume projection of US$12.28m by 2029.
By 2029, the number of users in this market is expected to be 65.35k users.
The user penetration rate is expected to increase from 3.1% in 2024 to 3.3% by 2029.
The projected Average Revenue Per User (ARPU) is US$199.20.
In the Package Holidays market, online sales are expected to generate 71% of the total revenue by 2029.
Interestingly, in global comparison, China is expected to generate the most revenue in the Package Holidays market with a projected revenue of US$49bn in 2024.
Despite Equatorial Guinea's beautiful beaches and tropical climate, package holidays are not yet a popular option for tourists visiting the country.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Package Holidays market in Equatorial Guinea is experiencing a shift in consumer preferences and market trends, influenced by local special circumstances and underlying macroeconomic factors.

Customer preferences: In Equatorial Guinea, travelers are increasingly seeking convenience and value for money when booking package holidays. They show a preference for all-inclusive packages that offer a hassle-free experience, including accommodation, meals, and activities. Additionally, there is a growing interest in eco-friendly and sustainable tourism options among consumers in the country.

Trends in the market: One notable trend in the Package Holidays market in Equatorial Guinea is the rise of domestic tourism. More residents are opting for package holidays within the country to explore its diverse landscapes, wildlife, and cultural heritage. This trend is driven by a desire to support local businesses and promote tourism development within Equatorial Guinea. Another emerging trend is the customization of package holidays to cater to the unique preferences of travelers, such as adventure tours, wellness retreats, and cultural experiences.

Local special circumstances: Equatorial Guinea's tourism industry is still developing, with efforts being made to promote the country as a tourist destination. The government has been investing in infrastructure and promoting sustainable tourism practices to attract more visitors. The country's rich biodiversity, pristine beaches, and vibrant cultural traditions are key attractions for tourists looking for a unique travel experience in the region.

Underlying macroeconomic factors: The Package Holidays market in Equatorial Guinea is also influenced by macroeconomic factors such as income levels, exchange rates, and government policies. As disposable incomes rise and the middle class expands, more people in Equatorial Guinea have the financial means to afford package holidays. Exchange rate stability and favorable government policies supporting tourism development have further contributed to the growth of the market in the country.

Data coverage:

The data encompasses B2C enterprises. Figures are based on bookings, revenues, and sales channels of package holidays.

Modeling approach:

Market sizes are determined through a bottom-up approach, building on a specific rationale for each market. As a basis for evaluating markets, we use financial reports, the Global Consumer Survey, third-party studies and reports, data from industry associations (e.g., UNWTO), and price data of major players in respective markets. To estimate the number of users and bookings, we furthermore use data from the Statista Consumer Insigths Global survey. In addition, we use relevant key market indicators and data from country-specific associations, such as country-related GDP, demographic data (e.g., population), tourism spending, consumer spending, internet penetration, and device penetration. This data helps us estimate the market size for each country individually.

Forecasts:

In our forecasts, we apply diverse forecasting techniques. The selection of forecasting techniques is based on the behavior of the relevant market. For example, ARIMA, which allows time series forecasts, accounting for stationarity of data and enabling short-term estimates. Additionally, simple linear regression, Holt-Winters forecast, and exponential trend smoothing methods are applied. A k-means cluster analysis allows for the estimation of similar countries. The main drivers are tourism GDP per capita and respective price indices.

Additional notes:

The data is modeled using current exchange rates. The market is updated twice a year in case market dynamics change.